Interstitial Optical Diagnosis and Treatment of Breast Cancer
Abstract
Spectral analysis of white light reflected from tissue is a rapid, non-invasive, diagnostic technique. We collected paired optical and conventional histologic measurements from 290 sites in breast and axillary nodes and looked for spectral features to identify cancer. Spectral analysis used artificial neural networks (ANN), hierarchical cluster analysis (HCA) and model based analysis (MBA). The sensitivity and specificity for detecting cancer in breast tissue or lymph nodes were: Breast ANN RCA MBA Sensitivity 69% 67% 94% Specificity 85% 79% 92% Nodes ANN RCA MBA Sensitivity 58% 91% 57% Specificity 93% 76% 85% Therapy aims for complete ablation of small cancers using MR guided Interstitial Laser Photocoagulation (ILP). We have shown that ILP can ablate small cancers and that contrast enhanced MR can detect untreated areas of cancer as small as 2mm. The number of suitable patients for study is small. The main problems are technical rather than biological. Real time imaging of ILP is possible in high field, closed MR scanners (1.5T), where fiber positioning is difficult, but not in low field interventional scanners (O.2T). ILP to fibroadenomas confirmed that laser necrosed tissue is resorbed and the treated area heals safely . The latter could become a valuable treatment in its own right.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2000
- Accession Number
- ADA386830
Entities
People
- Stephen G. Bown
Organizations
- University College London